A comprehensive study of content-based web mining

Authors

Noor Al-Deen Alaa Mohammed Tahaa, University of Technology - Computer Science Department / BaghdadFollow
Israa Tahseen Ali, University of Technology - Computer Science Department / BaghdadFollow

Document Type

Original Study

Abstract

With the huge growth of the web, and with the research in information retrieval. For many companies, websites have become the primary medium of communication and information. It also provides the potential for data mining and unprecedented opportunities and challenges. There are many different techniques used to extract useful information from the web. This information is extracted to assist users in better understanding the structure of content on the internet. In this research paper, web mining is described in a simplified manner and its types, with a detailed focus on web content mining and its main approaches that are used to mine the data with the latest techniques used in this field.

Keywords

Data Mining, Web Mining, Web Usage Mining, Web Content Mining, Web Structure Mining.

Recommended Citation

Tahaa, Noor Al-Deen Alaa Mohammed and Ali, Israa Tahseen (2024) "A comprehensive study of content-based web mining," Al-Qadisiyah Journal of Pure Science: Vol. 29 : No. 2 , Article 1.
Available at: https://doi.org/10.29350/2411-3514.1278

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.